Triple
T3842013
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moselle |
E93471
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object |
Creutzwald
Creutzwald is a small industrial town in northeastern France near the German border, known historically for its coal mining and glassmaking industries.
|
E393524
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Creutzwald | Statement: [Moselle, hasMajorCity, Creutzwald]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Creutzwald Context triple: [Moselle, hasMajorCity, Creutzwald]
-
A.
Gerswalde
Gerswalde is a small rural municipality in the Uckermark district of Brandenburg, northeastern Germany.
-
B.
Schöngarth
Schöngarth is a German surname most notably associated with Eberhard Schöngarth, a high-ranking Nazi SS officer and war criminal during World War II.
-
C.
Haller
Haller is a surname most notably associated with Ernest Haller, an American cinematographer renowned for his work in classic Hollywood films.
-
D.
Neefe
Neefe is a German surname most notably associated with Christian Gottlob Neefe, an 18th-century composer and one of Beethoven’s early teachers.
-
E.
Freyung
Freyung is a small town in southeastern Bavaria, Germany, known as a gateway to the Bavarian Forest region.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Creutzwald Triple: [Moselle, hasMajorCity, Creutzwald]
Generated description
Creutzwald is a small industrial town in northeastern France near the German border, known historically for its coal mining and glassmaking industries.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Creutzwald Target entity description: Creutzwald is a small industrial town in northeastern France near the German border, known historically for its coal mining and glassmaking industries.
-
A.
Gerswalde
Gerswalde is a small rural municipality in the Uckermark district of Brandenburg, northeastern Germany.
-
B.
Schöngarth
Schöngarth is a German surname most notably associated with Eberhard Schöngarth, a high-ranking Nazi SS officer and war criminal during World War II.
-
C.
Haller
Haller is a surname most notably associated with Ernest Haller, an American cinematographer renowned for his work in classic Hollywood films.
-
D.
Neefe
Neefe is a German surname most notably associated with Christian Gottlob Neefe, an 18th-century composer and one of Beethoven’s early teachers.
-
E.
Freyung
Freyung is a small town in southeastern Bavaria, Germany, known as a gateway to the Bavarian Forest region.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69aed96ce578819084ab16e3439976c9 |
completed | March 9, 2026, 2:30 p.m. |
| NER | Named-entity recognition | batch_69aeebb397ac81908f74a42a0eeb8682 |
completed | March 9, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5040d478081909a903bbf02f0d0ec |
completed | March 14, 2026, 6:45 a.m. |
| NEDg | Description generation | batch_69b50492239c8190a6c62504e2a6d130 |
completed | March 14, 2026, 6:47 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b50863e4a08190bd54274b2212abfc |
completed | March 14, 2026, 7:04 a.m. |
Created at: March 9, 2026, 3:18 p.m.